Spectrum Sensing 6G Full duplex Cognitive Radio OFDM Idle cells FBMC Energy Harvesting Ultra-dense small cell networks Bi-Directional stochastic geometry interference management Asynchronous Transmission SINR mismatch problem HetNet Dynamic TDD NOMA Cross-link interference Spectral efficiency bursty traffic model mode selection Device-to-Device (D2D) OQAM Channel estimation error multi-spectral Ultra-dense small cell Heterogeneous channel estimation capability synchronization Bi-directional full-duplex Preamble Intentional frequency offset (IFO) Asynchronism Shortened TTI Deep learning MLP Vehicle-to-vehicle communication Low Earth orbits (LEO) satellite Railway Simultaneous Sensing and Transmission full-duplex relay Cellular networks Latency selection diversity Cognitive relay networks MIMO K-S statistics Long Term Evolution-Advanced 5G networks interference coordination full-duplex cellular interference mitigation sensing duration Correlated MIMO outage probability transmission capacity (TC) Two-way communications self-interference cancellation in-band full-duplex system automatic repeat request (ARQ) achievable sum rate Coexisting network interference to noise ratio link reliability tabu-search massive connectivity resource size control Coexistence scenarios Resource management spectrum sharing mixed numerology Multiple input multiple output (MIMO) New radio non-terrestrial network (NR-NTN) full-spreading NOMA Intentional time offset LTE-based V2V CP-OFDM Singular Vale Decomposition non-orthogonal multiple access Non-orthogonal multiple access (NOMA) Complexity Cooperative systems Reliability B5G Multiple access Cell-free HST Mobility flexible duplex 5G Asynchronous non-orthogonal multiple access (NOMA) Edge computing Full-duplex Filtered OFDM Vehicle-to-Vehicle C-V2V Grant-free Transmission Sub-band filtering Computation offloading TDD configuration Degree of freedom (DoF) Satellite communication
Status : Published 
Date : 2017-04 
Title : Spectral Efficiency Analysis of Ultra-Dense Small Cell Networks with Heterogeneous Channel Estimation Capabilities 
Authors : Yosub Park, Jihaeng Heo, and Daesik Hong 
Journal : IEEE Communications Letters 
Abstract : This paper analyzes a spectral efficiency (SE) performance reflecting heterogeneous channel estimation (CE) capabilities across user equipments (UE) in ultra-dense small cell networks. Specifically, we derive asymptotic and approximated SE performances considering different kinds of CE capabilities. The analysis and simulation results lead us to some new intuitions as follows: i) the heterogeneity of CE capabilities across UEs has a great effect on SE performance in ultra-dense networks and ii) as the cell density increases, SE performance is asymptotically converged to its limit point when heterogeneous CE capabilities is considered, whereas the SE logarithmically increases in the perfect CE case. 
URL : http://ieeexplore.ieee.org/document/7914727/ 
Download : https://mirinae.yonsei.ac.kr/?module=fil...le_srl=179 

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List of Articles
No.
Statussort Date
3 [IEEE Access] Yosub Park, and Daesik Hong, "Theoretical Analysis of Interference Effect from Idle Cells in Ultra-dense Small Cell Networks", IEEE Access, Apr. 2018 Published  2018-04 
2 [IEEE Trans. Wireless Commun.] Yosub Park, Jihaeng Heo, Wonsuk Chung, Sungwoo Weon, Sooyong Choi, and Daesik Hong, "A New Link Adaptation Method to Mitigate SINR Mismatch in Ultra-dense Small Cell LTE Networks", IEEE Trans. on Wireless Comm., Nov. 2017 Published  2017-11 
» [IEEE Commun. Lett.] Yosub Park, Jihaeng Heo, and Daesik Hong, "Spectral Efficiency Analysis of Ultra-Dense Small Cell Networks with Heterogeneous Channel Estimation Capabilities", IEEE Comm. Letters, Apr. 2017 file Published  2017-04